An Improved BM3D Algorithm Based on Image Depth Feature Map and Structural Similarity Block-Matching [PDF]
Sensors, 2023 We propose an improved BM3D algorithm for block-matching based on UNet denoising network feature maps and structural similarity (SSIM). In response to the traditional BM3D algorithm that directly performs block-matching on a noisy image, without ...
Jia Cao +4 more
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Despeckling of Ultrasound Images Using Block Matching and SVD in Sparse Representation [PDF]
Sensors, 2022 This work proposes a novel scheme for speckle suppression on medical images acquired by ultrasound sensors. The proposed method is based on the block matching procedure by using mutual information as a similarity measure in grouping patches in a ...
Rogelio Reyes-Reyes +5 more
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De-Speckling Breast Cancer Ultrasound Images Using a Rotationally Invariant Block Matching Based Non-Local Means (RIBM-NLM) Method [PDF]
Diagnostics, 2022 The ultrasonic technique is an indispensable imaging modality for diagnosis of breast cancer in young women due to its ability in efficiently capturing the tissue properties, and decreasing nega-tive recognition rate thereby avoiding non-essential ...
Gelan Ayana +4 more
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Three-Dimensional Block Matching Using Orthonormal Tree-Structured Haar Transform for Multichannel Images [PDF]
Journal of Imaging, 2020 Multichannel images, i.e., images of the same object or scene taken in different spectral bands or with different imaging modalities/settings, are common in many applications.
Izumi Ito, Aleksandra Pižurica
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Dual-Attention-Based Block Matching for Dynamic Point Cloud Compression [PDF]
Journal of ImagingThe irregular and highly non-uniform spatial distribution inherent to dynamic three-dimensional (3D) point clouds (DPCs) severely hampers the extraction of reliable temporal context, rendering inter-frame compression a formidable challenge.
Longhua Sun, Yingrui Wang, Qing Zhu
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MR Image Reconstruction Using Block Matching and Adaptive Kernel Methods. [PDF]
PLoS ONE, 2016 An approach to Magnetic Resonance (MR) image reconstruction from undersampled data is proposed. Undersampling artifacts are removed using an iterative thresholding algorithm applied to nonlinearly transformed image block arrays.
Johannes F M Schmidt +2 more
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Sequential Blocked Matching [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 We consider a sequential blocked matching (SBM) model where strategic agents repeatedly report ordinal preferences over a set of services to a central planner. The planner's goal is to elicit agents' true preferences and design a policy that matches services to agents in order to maximize the expected social welfare with the added constraint that each
Bishop, Nicholas +3 more
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Motion Estimation for Gray Level Videos Using Different Block Matching Algorithms [PDF]
Engineering and Technology Journal, 2021 Motion Estimation (ME) is a very important operation in video coding. In order to reduce complexity of computations involved in ME and to increase quality of this process, many Block Matching Motion Estimation (BMME) Algorithms are proposed.
Tareq Z. Hammood, Matheel E. Abdulmunim
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SAR Image Despeckling Based on Block-Matching and Noise-Referenced Deep Learning Method
Remote Sensing, 2022 The noise2noise-based despeckling method, capable of training the despeckling deep neural network with only noisy synthetic aperture radar (SAR) image, has presented very good performance in recent research.
Chen Wang +3 more
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HIERARCHICAL ADAPTIVE ROOD PATTERN SEARCH FOR MOTION ESTIMATION AT VIDEO SEQUENCE ANALYSIS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2016 Subject of Research.The paper deals with the motion estimation algorithms for the analysis of video sequences in compression standards MPEG-4 Visual and H.264.
V. T. Nguyen, A. A. Tropchenko
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